Senior Researcher - Drug Design

Seeking Authors for a Scholarly Hot-Topic Issue in the Journal, “Current Medicinal Chemistry”

Hot-Topic Title: Integrating In Silico Drug Design and Predictive ADMET Modeling: From Virtual Screening to In Vivo Outcomes

Author your Scholarly Paper in this Hot-Topic Issue: https://bit.ly/3YqXxn0

Please mention the relevant Hot Topic Code: BMS-CMC-2024-HT-155, when prompted at the time of paper submission.

Summary

We are looking for researchers (scholarly authors) to contribute papers to the thematic issue titled, “Integrating In Silico Drug Design and Predictive ADMET Modeling: From Virtual Screening to In Vivo Outcomes", to be published in Current Medicinal Chemistry. If you have published cited research in the discipline/topic of Drug Design & Discovery / Medicinal Chemistry, this opportunity might be the perfect fit for you.

Publish Open Access with Bentham: Make Your Research Widely Available on Both Elsevier's ScienceDirect and Bentham Platforms!

Important Note: Several institutions in Germany, the UK, Spain, and other European countries have an open-access collaboration with Bentham Science. Submitted manuscripts from those institutions can be published as Open Access with a full APC waiver or with a percentage discount, subject to peer-review acceptance. (Fee waiver or discount depends on the terms of collaboration.)

Key Responsibilities:

· Ensure submission of quality content while adhering to the highest ethical standards of publishing.

Qualifications

· Ph.D. in Drug Design & Discovery / Medicinal Chemistry and related topics of research will be preferred.

· Strong analytical and critical thinking skills.

· Excellent communication and collaboration abilities.

· Awareness of ethical research practices.

About this Thematic Issue: Integrating In Silico Drug Design and Predictive ADMET Modeling: From Virtual Screening to In Vivo Outcomes

In the dynamic landscape of drug discovery and development, the marriage between computational methods and traditional experimental approaches has revolutionized the field. In Silico drug design, bolstered by predictive ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modelling, has emerged as a cornerstone in the quest for novel therapeutics. The synergy between these disciplines holds immense promise, offering a streamlined pathway from virtual screening to in vivo outcomes. Harnessing the power of computational algorithms, researchers can rapidly explore vast chemical space, identifying potential drug candidates with enhanced precision and efficiency. Through molecular docking, molecular dynamics simulations, and quantum mechanics calculations, in silico methods enable the elucidation of intricate molecular interactions, facilitating the design of molecules with optimal pharmacological properties. However, the journey from computational predictions to real-world efficacy is fraught with challenges. A crucial bottleneck lies in predicting the complex interplay between a drug candidate and the biological milieu. Herein, predictive ADMET modeling emerges as a critical tool, offering insights into the pharmacokinetic and toxicological profiles of prospective compounds. By integrating physicochemical properties, metabolic pathways, and toxicity endpoints, ADMET models empower researchers to make informed decisions early in the drug discovery pipeline, mitigating the risk of late-stage failures. This proposed special issue aims to showcase the latest advancements at the interface of in silico drug design and predictive ADMET modelling, highlighting innovative methodologies such as Machine Learning, case studies, and translational insights. We invite contributions from eminent scientists and thought leaders in the field to elucidate the synergistic potential of computational approaches in driving drug discovery forward. Through comprehensive reviews, original research articles, and perspectives, this special issue seeks to catalyze interdisciplinary dialogue and foster collaborations, ultimately advancing the paradigm of rational drug design.

View the Hot-Topic Issue here: https://bit.ly/4duoYko

About Current Medicinal Chemistry:

Current Medicinal Chemistry covers all the latest and outstanding developments in the field of medicinal chemistry. It also includes topics related to quantitative structure-function relationships, drug absorption, drug distribution, drug metabolism, new and emerging drug targets, pharmacogenomics, drug discovery toxicology, high-throughput screening, combinatorial chemistry, structural characterization and organic syntheses of naturally occurring compounds, as well as chemical and analytical techniques used in rational drug design. Each issue incorporates a series of timely in-depth/mini-reviews and guest-edited thematic issues written by leaders in the field covering a range of the current topics in medicinal chemistry. The journal also publishes reviews on recent patents.

Current Medicinal Chemistry is an essential journal for every medicinal chemist who wishes to be informed and up-to-date with the latest and most important developments relevant to their field.

This journal is indexed in Scopus, SCI Expanded, MEDLINE/PubMed, and other salient indexes. It has a JCR Impact Factor of 3.5